Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	167375
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	1525
Duplicate rows (%)	0.9%
Total size in memory	34.5 MiB
Average record size in memory	216.0 B

Variable types

Unsupported	2
Categorical	5
Numeric	20

Alerts

`accident_year` has constant value "2020"	Constant
Dataset has 1525 (0.9%) duplicate rows	Duplicates
`generic_make_model` has a high cardinality: 692 distinct values	High cardinality
`vehicle_location_restricted_lane` is highly correlated with `skidding_and_overturning` and 4 other fields	High correlation
`skidding_and_overturning` is highly correlated with `vehicle_location_restricted_lane` and 3 other fields	High correlation
`hit_object_in_carriageway` is highly correlated with `vehicle_location_restricted_lane` and 4 other fields	High correlation
`vehicle_leaving_carriageway` is highly correlated with `vehicle_location_restricted_lane` and 3 other fields	High correlation
`hit_object_off_carriageway` is highly correlated with `vehicle_location_restricted_lane` and 4 other fields	High correlation
`vehicle_left_hand_drive` is highly correlated with `vehicle_location_restricted_lane` and 2 other fields	High correlation
`age_of_driver` is highly correlated with `age_band_of_driver`	High correlation
`age_band_of_driver` is highly correlated with `age_of_driver`	High correlation
`engine_capacity_cc` is highly correlated with `propulsion_code` and 1 other fields	High correlation
`propulsion_code` is highly correlated with `engine_capacity_cc` and 1 other fields	High correlation
`age_of_vehicle` is highly correlated with `engine_capacity_cc` and 1 other fields	High correlation
`driver_imd_decile` is highly correlated with `driver_home_area_type`	High correlation
`driver_home_area_type` is highly correlated with `driver_imd_decile`	High correlation
`vehicle_manoeuvre` is highly correlated with `vehicle_direction_from` and 7 other fields	High correlation
`vehicle_direction_from` is highly correlated with `vehicle_manoeuvre`	High correlation
`vehicle_direction_to` is highly correlated with `vehicle_manoeuvre`	High correlation
`vehicle_location_restricted_lane` is highly correlated with `vehicle_manoeuvre` and 5 other fields	High correlation
`skidding_and_overturning` is highly correlated with `vehicle_manoeuvre` and 5 other fields	High correlation
`hit_object_in_carriageway` is highly correlated with `vehicle_manoeuvre` and 5 other fields	High correlation
`vehicle_leaving_carriageway` is highly correlated with `vehicle_manoeuvre` and 5 other fields	High correlation
`hit_object_off_carriageway` is highly correlated with `vehicle_manoeuvre` and 5 other fields	High correlation
`vehicle_left_hand_drive` is highly correlated with `vehicle_manoeuvre` and 5 other fields	High correlation
`sex_of_driver` is highly correlated with `age_band_of_driver`	High correlation
`age_of_driver` is highly correlated with `age_band_of_driver`	High correlation
`age_band_of_driver` is highly correlated with `sex_of_driver` and 2 other fields	High correlation
`driver_imd_decile` is highly correlated with `driver_home_area_type`	High correlation
`driver_home_area_type` is highly correlated with `age_band_of_driver` and 1 other fields	High correlation
`vehicle_location_restricted_lane` is highly correlated with `skidding_and_overturning` and 4 other fields	High correlation
`skidding_and_overturning` is highly correlated with `vehicle_location_restricted_lane` and 3 other fields	High correlation
`hit_object_in_carriageway` is highly correlated with `vehicle_location_restricted_lane` and 3 other fields	High correlation
`vehicle_leaving_carriageway` is highly correlated with `vehicle_location_restricted_lane` and 3 other fields	High correlation
`hit_object_off_carriageway` is highly correlated with `vehicle_location_restricted_lane` and 3 other fields	High correlation
`vehicle_left_hand_drive` is highly correlated with `vehicle_location_restricted_lane`	High correlation
`age_of_driver` is highly correlated with `age_band_of_driver`	High correlation
`age_band_of_driver` is highly correlated with `age_of_driver`	High correlation
`engine_capacity_cc` is highly correlated with `propulsion_code`	High correlation
`propulsion_code` is highly correlated with `engine_capacity_cc`	High correlation
`driver_imd_decile` is highly correlated with `driver_home_area_type`	High correlation
`driver_home_area_type` is highly correlated with `driver_imd_decile`	High correlation
`sex_of_driver` is highly correlated with `accident_year`	High correlation
`driver_home_area_type` is highly correlated with `accident_year`	High correlation
`accident_year` is highly correlated with `sex_of_driver` and 2 other fields	High correlation
`vehicle_left_hand_drive` is highly correlated with `accident_year`	High correlation
`vehicle_type` is highly correlated with `towing_and_articulation` and 1 other fields	High correlation
`towing_and_articulation` is highly correlated with `vehicle_type` and 2 other fields	High correlation
`vehicle_manoeuvre` is highly correlated with `vehicle_direction_from` and 9 other fields	High correlation
`vehicle_direction_from` is highly correlated with `vehicle_manoeuvre` and 9 other fields	High correlation
`vehicle_direction_to` is highly correlated with `vehicle_manoeuvre` and 9 other fields	High correlation
`vehicle_location_restricted_lane` is highly correlated with `vehicle_manoeuvre` and 9 other fields	High correlation
`junction_location` is highly correlated with `vehicle_manoeuvre` and 9 other fields	High correlation
`skidding_and_overturning` is highly correlated with `towing_and_articulation` and 10 other fields	High correlation
`hit_object_in_carriageway` is highly correlated with `vehicle_manoeuvre` and 9 other fields	High correlation
`vehicle_leaving_carriageway` is highly correlated with `towing_and_articulation` and 10 other fields	High correlation
`hit_object_off_carriageway` is highly correlated with `vehicle_manoeuvre` and 9 other fields	High correlation
`first_point_of_impact` is highly correlated with `vehicle_manoeuvre` and 8 other fields	High correlation
`vehicle_left_hand_drive` is highly correlated with `vehicle_manoeuvre` and 8 other fields	High correlation
`sex_of_driver` is highly correlated with `age_of_driver` and 3 other fields	High correlation
`age_of_driver` is highly correlated with `sex_of_driver` and 3 other fields	High correlation
`age_band_of_driver` is highly correlated with `sex_of_driver` and 3 other fields	High correlation
`engine_capacity_cc` is highly correlated with `vehicle_type`	High correlation
`driver_imd_decile` is highly correlated with `sex_of_driver` and 3 other fields	High correlation
`driver_home_area_type` is highly correlated with `sex_of_driver` and 3 other fields	High correlation
`vehicle_reference` is highly skewed (γ1 = 362.6319019)	Skewed
`accident_index` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`accident_reference` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`towing_and_articulation` has 160772 (96.1%) zeros	Zeros
`vehicle_direction_from` has 7253 (4.3%) zeros	Zeros
`vehicle_direction_to` has 7002 (4.2%) zeros	Zeros
`vehicle_location_restricted_lane` has 148988 (89.0%) zeros	Zeros
`junction_location` has 67731 (40.5%) zeros	Zeros
`skidding_and_overturning` has 136377 (81.5%) zeros	Zeros
`hit_object_in_carriageway` has 145392 (86.9%) zeros	Zeros
`vehicle_leaving_carriageway` has 136659 (81.6%) zeros	Zeros
`hit_object_off_carriageway` has 144089 (86.1%) zeros	Zeros
`first_point_of_impact` has 9462 (5.7%) zeros	Zeros
`age_of_vehicle` has 4000 (2.4%) zeros	Zeros

Reproduction

Analysis started	2022-02-22 14:08:40.114775
Analysis finished	2022-02-22 14:10:21.687377
Duration	1 minute and 41.57 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

accident_index
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

accident_year
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

2020	167375

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020
2nd row	2020
3rd row	2020
4th row	2020
5th row	2020

Common Values

Value	Count	Frequency (%)
2020	167375	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2020	167375	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

accident_reference
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

vehicle_reference
Real number (ℝ_≥0)

SKEWED

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.549197909

Minimum	1
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	999
Range	998
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.53819583
Coefficient of variation (CV)	1.63839353
Kurtosis	142489.9006
Mean	1.549197909
Median Absolute Deviation (MAD)	0
Skewness	362.6319019
Sum	259297
Variance	6.442438072
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1	91152	54.5%
2	65477	39.1%
3	8106	4.8%
4	1842	1.1%
5	503	0.3%
6	171	0.1%
7	72	< 0.1%
8	25	< 0.1%
9	11	< 0.1%
10	7	< 0.1%
Other values (4)	9	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	91152	54.5%
2	65477	39.1%
3	8106	4.8%
4	1842	1.1%
5	503	0.3%
6	171	0.1%
7	72	< 0.1%
8	25	< 0.1%
9	11	< 0.1%
10	7	< 0.1%

Value	Count	Frequency (%)
999	1	< 0.1%
13	1	< 0.1%
12	2	< 0.1%
11	5	< 0.1%
10	7	< 0.1%
9	11	< 0.1%
8	25	< 0.1%
7	72	< 0.1%
6	171	0.1%
5	503	0.3%

vehicle_type
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.05130993

Minimum	1
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	9
median	9
Q3	9
95-th percentile	19
Maximum	98
Range	97
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	11.69241242
Coefficient of variation (CV)	1.163272499
Kurtosis	41.79629716
Mean	10.05130993
Median Absolute Deviation (MAD)	0
Skewness	6.147087048
Sum	1682338
Variance	136.7125082
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
9	114145	68.2%
1	16766	10.0%
19	10338	6.2%
3	7523	4.5%
5	3784	2.3%
8	2612	1.6%
21	2501	1.5%
11	2213	1.3%
4	1691	1.0%
90	1185	0.7%
Other values (10)	4617	2.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	16766	10.0%
2	1128	0.7%
3	7523	4.5%
4	1691	1.0%
5	3784	2.3%
8	2612	1.6%
9	114145	68.2%
10	225	0.1%
11	2213	1.3%
16	90	0.1%

Value	Count	Frequency (%)
98	1072	0.6%
97	478	0.3%
90	1185	0.7%
23	93	0.1%
22	189	0.1%
21	2501	1.5%
20	898	0.5%
19	10338	6.2%
18	9	< 0.1%
17	435	0.3%

towing_and_articulation
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2216639283

Minimum	-1
Maximum	9
Zeros	160772
Zeros (%)	96.1%
Negative	689
Negative (%)	0.4%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	9
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.344229731
Coefficient of variation (CV)	6.064269188
Kurtosis	36.58231716
Mean	0.2216639283
Median Absolute Deviation (MAD)	0
Skewness	6.136178045
Sum	37101
Variance	1.806953569
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	160772	96.1%
9	3598	2.1%
1	1324	0.8%
-1	689	0.4%
4	645	0.4%
5	242	0.1%
3	84	0.1%
2	21	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	689	0.4%
0	160772	96.1%
1	1324	0.8%
2	21	< 0.1%
3	84	0.1%
4	645	0.4%
5	242	0.1%
9	3598	2.1%

Value	Count	Frequency (%)
9	3598	2.1%
5	242	0.1%
4	645	0.4%
3	84	0.1%
2	21	< 0.1%
1	1324	0.8%
0	160772	96.1%
-1	689	0.4%

vehicle_manoeuvre
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.5389873

Minimum	-1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	679
Negative (%)	0.4%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	2
Q1	9
median	18
Q3	18
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	23.66127375
Coefficient of variation (CV)	1.210977488
Kurtosis	6.816089267
Mean	19.5389873
Median Absolute Deviation (MAD)	2
Skewness	2.823442978
Sum	3270338
Variance	559.8558757
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
18	78191	46.7%
9	14799	8.8%
99	12845	7.7%
4	9040	5.4%
5	7467	4.5%
2	7422	4.4%
3	6872	4.1%
7	5568	3.3%
17	5459	3.3%
16	4740	2.8%
Other values (10)	14972	8.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	679	0.4%
1	2091	1.2%
2	7422	4.4%
3	6872	4.1%
4	9040	5.4%
5	7467	4.5%
6	1199	0.7%
7	5568	3.3%
8	736	0.4%
9	14799	8.8%

Value	Count	Frequency (%)
99	12845	7.7%
18	78191	46.7%
17	5459	3.3%
16	4740	2.8%
15	1140	0.7%
14	1409	0.8%
13	3097	1.9%
12	1262	0.8%
11	1165	0.7%
10	2194	1.3%

vehicle_direction_from
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.406386856

Minimum	-1
Maximum	9
Zeros	7253
Zeros (%)	4.3%
Negative	1640
Negative (%)	1.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	9
Maximum	9
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.718825873
Coefficient of variation (CV)	0.6170193317
Kurtosis	-1.128623764
Mean	4.406386856
Median Absolute Deviation (MAD)	2
Skewness	0.04333357971
Sum	737519
Variance	7.392014127
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	25605	15.3%
5	23722	14.2%
3	22001	13.1%
7	21339	12.7%
2	13621	8.1%
6	13492	8.1%
9	12978	7.8%
8	12919	7.7%
4	12805	7.7%
0	7253	4.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	1640	1.0%
0	7253	4.3%
1	25605	15.3%
2	13621	8.1%
3	22001	13.1%
4	12805	7.7%
5	23722	14.2%
6	13492	8.1%
7	21339	12.7%
8	12919	7.7%

Value	Count	Frequency (%)
9	12978	7.8%
8	12919	7.7%
7	21339	12.7%
6	13492	8.1%
5	23722	14.2%
4	12805	7.7%
3	22001	13.1%
2	13621	8.1%
1	25605	15.3%
0	7253	4.3%

vehicle_direction_to
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.455067961

Minimum	-1
Maximum	9
Zeros	7002
Zeros (%)	4.2%
Negative	1653
Negative (%)	1.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	9
Maximum	9
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.69693723
Coefficient of variation (CV)	0.6053638808
Kurtosis	-1.104588061
Mean	4.455067961
Median Absolute Deviation (MAD)	2
Skewness	0.02183138814
Sum	745667
Variance	7.273470423
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
5	24192	14.5%
1	23537	14.1%
3	21901	13.1%
7	21870	13.1%
2	14379	8.6%
6	13525	8.1%
4	13346	8.0%
8	12992	7.8%
9	12978	7.8%
0	7002	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	1653	1.0%
0	7002	4.2%
1	23537	14.1%
2	14379	8.6%
3	21901	13.1%
4	13346	8.0%
5	24192	14.5%
6	13525	8.1%
7	21870	13.1%
8	12992	7.8%

Value	Count	Frequency (%)
9	12978	7.8%
8	12992	7.8%
7	21870	13.1%
6	13525	8.1%
5	24192	14.5%
4	13346	8.0%
3	21901	13.1%
2	14379	8.6%
1	23537	14.1%
0	7002	4.2%

vehicle_location_restricted_lane
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.537870052

Minimum	-1
Maximum	99
Zeros	148988
Zeros (%)	89.0%
Negative	640
Negative (%)	0.4%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	25.89839334
Coefficient of variation (CV)	3.435770737
Kurtosis	8.528134831
Mean	7.537870052
Median Absolute Deviation (MAD)	0
Skewness	3.240266131
Sum	1261651
Variance	670.7267778
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	148988	89.0%
99	12397	7.4%
9	2527	1.5%
4	715	0.4%
2	687	0.4%
-1	640	0.4%
6	575	0.3%
5	316	0.2%
8	233	0.1%
1	119	0.1%
Other values (2)	178	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	640	0.4%
0	148988	89.0%
1	119	0.1%
2	687	0.4%
3	62	< 0.1%
4	715	0.4%
5	316	0.2%
6	575	0.3%
7	116	0.1%
8	233	0.1%

Value	Count	Frequency (%)
99	12397	7.4%
9	2527	1.5%
8	233	0.1%
7	116	0.1%
6	575	0.3%
5	316	0.2%
4	715	0.4%
3	62	< 0.1%
2	687	0.4%
1	119	0.1%

junction_location
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.598303211

Minimum	-1
Maximum	9
Zeros	67731
Zeros (%)	40.5%
Negative	284
Negative (%)	0.2%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	1
Q3	6
95-th percentile	9
Maximum	9
Range	10
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.285627255
Coefficient of variation (CV)	1.264528035
Kurtosis	-0.8421346062
Mean	2.598303211
Median Absolute Deviation (MAD)	1
Skewness	0.9276256088
Sum	434891
Variance	10.79534646
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	67731	40.5%
1	36422	21.8%
8	25526	15.3%
9	9373	5.6%
2	9059	5.4%
6	6750	4.0%
4	5154	3.1%
5	3847	2.3%
3	2721	1.6%
7	508	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	284	0.2%
0	67731	40.5%
1	36422	21.8%
2	9059	5.4%
3	2721	1.6%
4	5154	3.1%
5	3847	2.3%
6	6750	4.0%
7	508	0.3%
8	25526	15.3%

Value	Count	Frequency (%)
9	9373	5.6%
8	25526	15.3%
7	508	0.3%
6	6750	4.0%
5	3847	2.3%
4	5154	3.1%
3	2721	1.6%
2	9059	5.4%
1	36422	21.8%
0	67731	40.5%

skidding_and_overturning
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.920334578

Minimum	-1
Maximum	9
Zeros	136377
Zeros (%)	81.5%
Negative	662
Negative (%)	0.4%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	9
Maximum	9
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.49721216
Coefficient of variation (CV)	2.713374266
Kurtosis	5.73521314
Mean	0.920334578
Median Absolute Deviation (MAD)	0
Skewness	2.708486534
Sum	154041
Variance	6.236068573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	136377	81.5%
9	13038	7.8%
1	10096	6.0%
5	4254	2.5%
2	2875	1.7%
-1	662	0.4%
3	47	< 0.1%
4	26	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	662	0.4%
0	136377	81.5%
1	10096	6.0%
2	2875	1.7%
3	47	< 0.1%
4	26	< 0.1%
5	4254	2.5%
9	13038	7.8%

Value	Count	Frequency (%)
9	13038	7.8%
5	4254	2.5%
4	26	< 0.1%
3	47	< 0.1%
2	2875	1.7%
1	10096	6.0%
0	136377	81.5%
-1	662	0.4%

hit_object_in_carriageway
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.859979089

Minimum	-1
Maximum	99
Zeros	145392
Zeros (%)	86.9%
Negative	636
Negative (%)	0.4%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	26.13339657
Coefficient of variation (CV)	3.32486846
Kurtosis	8.200251291
Mean	7.859979089
Median Absolute Deviation (MAD)	0
Skewness	3.185586887
Sum	1315564
Variance	682.9544163
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	145392	86.9%
99	12664	7.6%
4	3252	1.9%
10	2605	1.6%
7	942	0.6%
11	813	0.5%
-1	636	0.4%
8	261	0.2%
12	220	0.1%
9	220	0.1%
Other values (4)	370	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	636	0.4%
0	145392	86.9%
1	109	0.1%
2	125	0.1%
4	3252	1.9%
5	14	< 0.1%
6	122	0.1%
7	942	0.6%
8	261	0.2%
9	220	0.1%

Value	Count	Frequency (%)
99	12664	7.6%
12	220	0.1%
11	813	0.5%
10	2605	1.6%
9	220	0.1%
8	261	0.2%
7	942	0.6%
6	122	0.1%
5	14	< 0.1%
4	3252	1.9%

vehicle_leaving_carriageway
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.005078417

Minimum	-1
Maximum	9
Zeros	136659
Zeros (%)	81.6%
Negative	644
Negative (%)	0.4%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	9
Maximum	9
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.627550463
Coefficient of variation (CV)	2.614274089
Kurtosis	4.387558948
Mean	1.005078417
Median Absolute Deviation (MAD)	0
Skewness	2.476679208
Sum	168225
Variance	6.904021433
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	136659	81.6%
9	12493	7.5%
1	9294	5.6%
7	4679	2.8%
2	1133	0.7%
3	848	0.5%
-1	644	0.4%
8	614	0.4%
4	534	0.3%
5	335	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	644	0.4%
0	136659	81.6%
1	9294	5.6%
2	1133	0.7%
3	848	0.5%
4	534	0.3%
5	335	0.2%
6	142	0.1%
7	4679	2.8%
8	614	0.4%

Value	Count	Frequency (%)
9	12493	7.5%
8	614	0.4%
7	4679	2.8%
6	142	0.1%
5	335	0.2%
4	534	0.3%
3	848	0.5%
2	1133	0.7%
1	9294	5.6%
0	136659	81.6%

hit_object_off_carriageway
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.986999253

Minimum	-1
Maximum	99
Zeros	144089
Zeros (%)	86.1%
Negative	4
Negative (%)	< 0.1%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	99
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	26.2386465
Coefficient of variation (CV)	3.28516952
Kurtosis	8.063658341
Mean	7.986999253
Median Absolute Deviation (MAD)	0
Skewness	3.162903526
Sum	1336824
Variance	688.4665701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	144089	86.1%
99	12783	7.6%
11	2229	1.3%
4	1937	1.2%
10	1813	1.1%
1	1026	0.6%
9	952	0.6%
2	883	0.5%
7	658	0.4%
6	584	0.3%
Other values (4)	421	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	4	< 0.1%
0	144089	86.1%
1	1026	0.6%
2	883	0.5%
3	340	0.2%
4	1937	1.2%
5	64	< 0.1%
6	584	0.3%
7	658	0.4%
8	13	< 0.1%

Value	Count	Frequency (%)
99	12783	7.6%
11	2229	1.3%
10	1813	1.1%
9	952	0.6%
8	13	< 0.1%
7	658	0.4%
6	584	0.3%
5	64	< 0.1%
4	1937	1.2%
3	340	0.2%

first_point_of_impact
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.993236744

Minimum	-1
Maximum	9
Zeros	9462
Zeros (%)	5.7%
Negative	939
Negative (%)	0.6%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	1
Q3	3
95-th percentile	4
Maximum	9
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.750087857
Coefficient of variation (CV)	0.8780130423
Kurtosis	6.218340897
Mean	1.993236744
Median Absolute Deviation (MAD)	1
Skewness	2.204005552
Sum	333618
Variance	3.062807509
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	82297	49.2%
2	26346	15.7%
3	22421	13.4%
4	20177	12.1%
0	9462	5.7%
9	5733	3.4%
-1	939	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	939	0.6%
0	9462	5.7%
1	82297	49.2%
2	26346	15.7%
3	22421	13.4%
4	20177	12.1%
9	5733	3.4%

Value	Count	Frequency (%)
9	5733	3.4%
4	20177	12.1%
3	22421	13.4%
2	26346	15.7%
1	82297	49.2%
0	9462	5.7%
-1	939	0.6%

vehicle_left_hand_drive
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

1	155707
9	9444
2	1347
-1	877

Length

Max length	2
Median length	1
Mean length	1.005239731
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	155707	93.0%
9	9444	5.6%
2	1347	0.8%
-1	877	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	156584	93.6%
9	9444	5.6%
2	1347	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

journey_purpose_of_driver
Real number (ℝ)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.717066468

Minimum	-1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	184
Negative (%)	0.1%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	4
median	6
Q3	6
95-th percentile	6
Maximum	6
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.914970801
Coefficient of variation (CV)	0.4059664655
Kurtosis	-0.4672557474
Mean	4.717066468
Median Absolute Deviation (MAD)	0
Skewness	-1.132316708
Sum	789519
Variance	3.66711317
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
6	99151	59.2%
5	26104	15.6%
1	22408	13.4%
2	17309	10.3%
3	1625	1.0%
4	594	0.4%
-1	184	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	184	0.1%
1	22408	13.4%
2	17309	10.3%
3	1625	1.0%
4	594	0.4%
5	26104	15.6%
6	99151	59.2%

Value	Count	Frequency (%)
6	99151	59.2%
5	26104	15.6%
4	594	0.4%
3	1625	1.0%
2	17309	10.3%
1	22408	13.4%
-1	184	0.1%

sex_of_driver
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

1	106240
2	41820
3	19302
-1	13

Length

Max length	2
Median length	1
Mean length	1.00007767
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	3
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	106240	63.5%
2	41820	25.0%
3	19302	11.5%
-1	13	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	106253	63.5%
2	41820	25.0%
3	19302	11.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

age_of_driver
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	99
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.50965795

Minimum	-1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	23344
Negative (%)	13.9%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	22
median	34
Q3	49
95-th percentile	69
Maximum	100
Range	101
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	20.79751733
Coefficient of variation (CV)	0.6026578807
Kurtosis	-0.392178558
Mean	34.50965795
Median Absolute Deviation (MAD)	13
Skewness	0.01386833901
Sum	5776054
Variance	432.536727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	23344	13.9%
30	5308	3.2%
29	3672	2.2%
28	3622	2.2%
25	3599	2.2%
27	3514	2.1%
32	3471	2.1%
26	3468	2.1%
31	3386	2.0%
33	3382	2.0%
Other values (89)	110609	66.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	23344	13.9%
3	2	< 0.1%
4	10	< 0.1%
5	22	< 0.1%
6	39	< 0.1%
7	46	< 0.1%
8	46	< 0.1%
9	70	< 0.1%
10	100	0.1%
11	187	0.1%

Value	Count	Frequency (%)
100	1	< 0.1%
99	2	< 0.1%
98	3	< 0.1%
97	3	< 0.1%
96	9	< 0.1%
95	10	< 0.1%
94	14	< 0.1%
93	34	< 0.1%
92	48	< 0.1%
91	55	< 0.1%

age_band_of_driver
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.780271845

Minimum	-1
Maximum	11
Zeros	0
Zeros (%)	0.0%
Negative	23344
Negative (%)	13.9%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	5
median	6
Q3	8
95-th percentile	10
Maximum	11
Range	12
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.185713259
Coefficient of variation (CV)	0.5511355426
Kurtosis	0.3274912128
Mean	5.780271845
Median Absolute Deviation (MAD)	2
Skewness	-1.003102528
Sum	967473
Variance	10.14876897
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
6	36494	21.8%
7	27108	16.2%
8	24008	14.3%
-1	23344	13.9%
5	16695	10.0%
9	15562	9.3%
4	11046	6.6%
10	6941	4.1%
11	4343	2.6%
3	1499	0.9%
Other values (2)	335	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	23344	13.9%
1	34	< 0.1%
2	301	0.2%
3	1499	0.9%
4	11046	6.6%
5	16695	10.0%
6	36494	21.8%
7	27108	16.2%
8	24008	14.3%
9	15562	9.3%

Value	Count	Frequency (%)
11	4343	2.6%
10	6941	4.1%
9	15562	9.3%
8	24008	14.3%
7	27108	16.2%
6	36494	21.8%
5	16695	10.0%
4	11046	6.6%
3	1499	0.9%
2	301	0.2%

engine_capacity_cc
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	985
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1332.294554

Minimum	-1
Maximum	17696
Zeros	0
Zeros (%)	0.0%
Negative	43603
Negative (%)	26.1%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	1368
Q3	1910
95-th percentile	2987
Maximum	17696
Range	17697
Interquartile range (IQR)	1911

Descriptive statistics

Standard deviation	1543.509942
Coefficient of variation (CV)	1.158535053
Kurtosis	26.12224291
Mean	1332.294554
Median Absolute Deviation (MAD)	627
Skewness	4.109213084
Sum	222992801
Variance	2382422.942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	43603	26.1%
1598	9171	5.5%
1995	5440	3.3%
1968	5292	3.2%
998	4830	2.9%
125	4825	2.9%
1560	3784	2.3%
1242	3362	2.0%
2143	2835	1.7%
1997	2812	1.7%
Other values (975)	81421	48.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	43603	26.1%
7	1	< 0.1%
42	1	< 0.1%
48	16	< 0.1%
49	449	0.3%
50	101	0.1%
79	2	< 0.1%
85	11	< 0.1%
89	2	< 0.1%
96	3	< 0.1%

Value	Count	Frequency (%)
17696	1	< 0.1%
16400	17	< 0.1%
16353	16	< 0.1%
16350	1	< 0.1%
16123	2	< 0.1%
16120	1	< 0.1%
16000	5	< 0.1%
15928	1	< 0.1%
15607	9	< 0.1%
15256	2	< 0.1%

propulsion_code
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9701209858

Minimum	-1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	43015
Negative (%)	25.7%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	1
Q3	2
95-th percentile	2
Maximum	12
Range	13
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.585309874
Coefficient of variation (CV)	1.634136255
Kurtosis	7.256120777
Mean	0.9701209858
Median Absolute Deviation (MAD)	1
Skewness	1.6993152
Sum	162374
Variance	2.513207398
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	67383	40.3%
2	52598	31.4%
-1	43015	25.7%
8	3765	2.2%
3	459	0.3%
7	64	< 0.1%
12	56	< 0.1%
5	18	< 0.1%
6	15	< 0.1%
4	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	43015	25.7%
1	67383	40.3%
2	52598	31.4%
3	459	0.3%
4	1	< 0.1%
5	18	< 0.1%
6	15	< 0.1%
7	64	< 0.1%
8	3765	2.2%
9	1	< 0.1%

Value	Count	Frequency (%)
12	56	< 0.1%
9	1	< 0.1%
8	3765	2.2%
7	64	< 0.1%
6	15	< 0.1%
5	18	< 0.1%
4	1	< 0.1%
3	459	0.3%
2	52598	31.4%
1	67383	40.3%

age_of_vehicle
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	75
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.820600448

Minimum	-1
Maximum	96
Zeros	4000
Zeros (%)	2.4%
Negative	43072
Negative (%)	25.7%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	5
Q3	11
95-th percentile	17
Maximum	96
Range	97
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	6.331929007
Coefficient of variation (CV)	1.087848077
Kurtosis	3.021169788
Mean	5.820600448
Median Absolute Deviation (MAD)	6
Skewness	0.9891865746
Sum	974223
Variance	40.09332495
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	43072	25.7%
1	9310	5.6%
4	9260	5.5%
5	8746	5.2%
3	8512	5.1%
2	8400	5.0%
6	7816	4.7%
7	7132	4.3%
13	6716	4.0%
8	6545	3.9%
Other values (65)	51866	31.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	43072	25.7%
0	4000	2.4%
1	9310	5.6%
2	8400	5.0%
3	8512	5.1%
4	9260	5.5%
5	8746	5.2%
6	7816	4.7%
7	7132	4.3%
8	6545	3.9%

Value	Count	Frequency (%)
96	1	< 0.1%
93	1	< 0.1%
92	1	< 0.1%
88	2	< 0.1%
86	2	< 0.1%
84	1	< 0.1%
78	1	< 0.1%
68	1	< 0.1%
67	3	< 0.1%
66	1	< 0.1%

generic_make_model
Categorical

HIGH CARDINALITY

Distinct	692
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

-1	47637
FORD FIESTA	4850
VAUXHALL CORSA	4066
VAUXHALL ASTRA	3748
FORD FOCUS	3744
Other values (687)	103330

Length

Max length	30
Median length	11
Mean length	9.877138163
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AUDI Q5
2nd row	AUDI A1
3rd row	-1
4th row	TOYOTA PRIUS
5th row	BMW 4 SERIES

Common Values

Value	Count	Frequency (%)
-1	47637	28.5%
FORD FIESTA	4850	2.9%
VAUXHALL CORSA	4066	2.4%
VAUXHALL ASTRA	3748	2.2%
FORD FOCUS	3744	2.2%
VOLKSWAGEN GOLF	3695	2.2%
BMW 3 SERIES	2535	1.5%
VOLKSWAGEN POLO	2248	1.3%
MERCEDES C CLASS	1767	1.1%
TOYOTA YARIS	1642	1.0%
Other values (682)	91443	54.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	49279	15.6%
ford	15568	4.9%
vauxhall	12851	4.1%
volkswagen	9790	3.1%
bmw	7654	2.4%
mercedes	7386	2.3%
honda	6794	2.2%
series	6510	2.1%
toyota	6421	2.0%
audi	5497	1.7%
Other values (734)	188228	59.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

driver_imd_decile
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.904143391

Minimum	-1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	31406
Negative (%)	18.8%
Memory size	1.3 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	1
median	4
Q3	7
95-th percentile	10
Maximum	10
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.445328859
Coefficient of variation (CV)	0.8824801023
Kurtosis	-1.104427259
Mean	3.904143391
Median Absolute Deviation (MAD)	3
Skewness	0.1028354394
Sum	653456
Variance	11.87029094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
-1	31406	18.8%
2	16706	10.0%
3	16306	9.7%
1	15378	9.2%
4	15131	9.0%
5	14460	8.6%
6	13655	8.2%
7	12267	7.3%
8	11597	6.9%
9	10935	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	31406	18.8%
1	15378	9.2%
2	16706	10.0%
3	16306	9.7%
4	15131	9.0%
5	14460	8.6%
6	13655	8.2%
7	12267	7.3%
8	11597	6.9%
9	10935	6.5%

Value	Count	Frequency (%)
10	9534	5.7%
9	10935	6.5%
8	11597	6.9%
7	12267	7.3%
6	13655	8.2%
5	14460	8.6%
4	15131	9.0%
3	16306	9.7%
2	16706	10.0%
1	15378	9.2%

driver_home_area_type
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

1	110099
-1	31215
3	14820
2	11241

Length

Max length	2
Median length	1
Mean length	1.186497386
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	-1
4th row	1
5th row	-1

Common Values

Value	Count	Frequency (%)
1	110099	65.8%
-1	31215	18.6%
3	14820	8.9%
2	11241	6.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	141314	84.4%
3	14820	8.9%
2	11241	6.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	accident_index	accident_year	accident_reference	vehicle_reference	vehicle_type	towing_and_articulation	vehicle_manoeuvre	vehicle_direction_from	vehicle_direction_to	vehicle_location_restricted_lane	junction_location	hit_object_in_carriageway	first_point_of_impact	vehicle_left_hand_drive	journey_purpose_of_driver	sex_of_driver	age_of_driver	age_band_of_driver	engine_capacity_cc	propulsion_code	age_of_vehicle	generic_make_model	driver_imd_decile	driver_home_area_type
0	2020010219808	2020	10219808	1	9	9	5	1	5	0	0	0	4	9	6	2	32	6	1968	2	6	AUDI Q5	4	1
1	2020010220496	2020	10220496	1	9	0	4	2	6	0	2	0	1	1	2	1	45	7	1395	1	2	AUDI A1	7	1
2	2020010228005	2020	10228005	1	9	0	18	-1	-1	0	0	0	1	1	6	3	-1	-1	-1	-1	-1	-1	-1	-1
3	2020010228006	2020	10228006	1	8	0	18	1	5	0	0	0	1	1	1	1	44	7	1798	8	8	TOYOTA PRIUS	2	1
4	2020010228011	2020	10228011	1	9	0	18	3	7	9	1	0	1	1	6	1	20	4	2993	2	4	BMW 4 SERIES	-1	-1
5	2020010228012	2020	10228012	1	9	0	18	1	5	0	1	10	1	1	6	1	25	5	1390	1	5	AUDI A1	4	1
6	2020010228014	2020	10228014	1	9	0	18	5	1	0	1	0	1	1	1	1	41	7	1969	2	4	VOLVO V60	3	1
7	2020010228014	2020	10228014	2	9	3	18	1	5	0	1	0	1	1	6	3	19	4	2143	2	4	MERCEDES C CLASS	-1	-1
8	2020010228017	2020	10228017	1	9	0	18	3	7	0	6	0	1	1	1	1	32	6	2993	2	8	JAGUAR XF SERIES	8	1
9	2020010228017	2020	10228017	2	9	0	3	3	7	0	6	0	0	1	6	1	26	6	2993	2	0	BMW X5	2	1

Last rows

	accident_index	accident_year	accident_reference	vehicle_reference	vehicle_type	vehicle_manoeuvre	vehicle_direction_from	vehicle_direction_to	vehicle_location_restricted_lane	junction_location	hit_object_in_carriageway	vehicle_leaving_carriageway	first_point_of_impact	vehicle_left_hand_drive	journey_purpose_of_driver	sex_of_driver	age_of_driver	age_band_of_driver	engine_capacity_cc	propulsion_code	age_of_vehicle	generic_make_model	driver_imd_decile	driver_home_area_type
167365	2020991024209	2020	991024209	2	9	13	4	8	0	8	0	7	1	1	5	1	36	7	1968	2	3	VOLKSWAGEN PASSAT	10	3
167366	2020991024526	2020	991024526	1	98	18	6	2	0	0	12	0	3	1	1	1	43	7	-1	-1	-1	-1	3	1
167367	2020991027064	2020	991027064	1	9	16	3	7	0	3	0	0	1	1	1	1	27	6	-1	-1	-1	-1	2	1
167368	2020991027064	2020	991027064	2	1	5	1	5	0	6	0	0	4	1	5	1	11	3	-1	-1	-1	-1	2	1
167369	2020991029573	2020	991029573	1	9	1	5	1	5	1	0	0	2	1	3	2	39	7	1598	1	7	NISSAN QASHQAI	10	1
167370	2020991030297	2020	991030297	1	9	7	8	2	0	6	0	0	3	1	1	1	57	9	1968	2	2	AUDI A5	7	1
167371	2020991030297	2020	991030297	2	5	16	6	2	0	1	0	0	1	1	5	1	38	7	1301	1	2	KTM 1290 SUPERDUKE	9	2
167372	2020991030900	2020	991030900	1	9	7	8	2	0	6	0	0	3	1	6	2	68	10	1995	2	1	BMW X3	5	1
167373	2020991030900	2020	991030900	2	1	18	6	2	4	8	0	0	1	1	6	1	76	11	-1	-1	-1	-1	9	1
167374	2020991032575	2020	991032575	1	9	1	8	4	0	0	12	0	2	1	6	1	39	7	999	1	2	FORD FOCUS	7	1

Most frequently occurring

	accident_year	vehicle_reference	vehicle_type	vehicle_manoeuvre	vehicle_direction_from	vehicle_direction_to	vehicle_location_restricted_lane	junction_location	skidding_and_overturning	hit_object_in_carriageway	vehicle_leaving_carriageway	hit_object_off_carriageway	first_point_of_impact	vehicle_left_hand_drive	journey_purpose_of_driver	sex_of_driver	age_of_driver	age_band_of_driver	engine_capacity_cc	propulsion_code	age_of_vehicle	generic_make_model	driver_imd_decile	driver_home_area_type	# duplicates
1284	2020	2	9	99	9	9	99	9	9	99	9	99	9	9	6	3	-1	-1	-1	-1	-1	-1	-1	-1	198
1231	2020	2	9	99	9	9	99	9	9	99	9	99	1	9	6	3	-1	-1	-1	-1	-1	-1	-1	-1	189
974	2020	2	9	2	0	0	0	0	0	0	0	0	2	1	6	3	-1	-1	-1	-1	-1	-1	-1	-1	105
979	2020	2	9	2	0	0	0	0	0	0	0	0	3	1	6	3	-1	-1	-1	-1	-1	-1	-1	-1	69
1410	2020	3	9	2	0	0	0	0	0	0	0	0	2	1	6	3	-1	-1	-1	-1	-1	-1	-1	-1	66
471	2020	1	9	18	1	5	0	0	0	0	0	0	1	1	6	3	-1	-1	-1	-1	-1	-1	-1	-1	62
1273	2020	2	9	99	9	9	99	9	9	99	9	99	2	9	6	3	-1	-1	-1	-1	-1	-1	-1	-1	58
972	2020	2	9	2	0	0	0	0	0	0	0	0	1	1	6	3	-1	-1	-1	-1	-1	-1	-1	-1	56
683	2020	1	9	18	7	3	0	0	0	0	0	0	1	1	6	3	-1	-1	-1	-1	-1	-1	-1	-1	53
547	2020	1	9	18	3	7	0	0	0	0	0	0	1	1	6	3	-1	-1	-1	-1	-1	-1	-1	-1	52

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequently occurring